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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 2069
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    INDEX
    Explanations

    mentions of races related to competitions

    oai_token-act-pair · gpt-3.5-turbo

    references to racing events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pton
    -0.74
    odder
    -0.74
    idential
    -0.74
    ogle
    -0.72
     Fas
    -0.72
    rontal
    -0.69
    argon
    -0.68
    ipher
    -0.68
    olia
    -0.65
    rolog
    -0.65
    POSITIVE LOGITS
     races
    1.50
     Races
    1.20
     race
    1.12
     Race
    0.96
    race
    0.93
    Race
    0.92
    manship
    0.87
    course
    0.86
     raced
    0.82
     racing
    0.82
    Activations Density 0.009%

    No Known Activations